AffilSentry
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Pre-approval Instagram review

Reduce affiliate commission waste before approval.

Review Instagram applicants with source-backed public evidence — before they get a code, a link, a gift, or commission access.

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Previewing a sample public-data packet for @case_a_outdoor. Enter a public handle to get a review packet.

See sample auditControlled beta review · public data only
Approval risk

Commission leakage doesn't start at the click.
It starts at approval.

Public-evidence review of an applicant before a code, link, gift, or commission access is issued.

After the click

Clicks. Coupons. Attribution. Payouts.

Code live, gift shipped, commission may already be owed.

At approval

One step earlier before they're in.

Sample audit

After the run, your reviewer gets a packet they can act on.

An anonymized applicant sample showing public source evidence, surfaced observations, and the next question to ask before approval.

AffilSentry reviewReviewer-ready packet

Applicant Review Packet

Prepared for handle: case_a_outdoor

Source-backed observations3 surfaced · 2 context
01comments

Comments cluster too neatly.

None of the comparable posts showed later comments arriving over time — observed comments stay packed into a short window, then stop.

Why it matters

Organic posts usually keep picking up scattered later comments. Ask for Insights before issuing a code.

sampled comments · 5 comparable posts · longest observed window about 1.4 days
02comments

Repeated praise across posts.

Short, generic praise repeats across different posts, making the comment pool look coordinated rather than conversational.

69 sampled comments · repeated-language pattern found
03timing

Posting hours sit in a narrow window.

Posts repeatedly land in the same narrow posting window instead of spreading across natural daily rhythms.

30 post timestamps · narrow hour-of-day spread
Recommended next step

“Can you send post-level Insights for three recent non-giveaway posts, and note whether those posts were boosted, giveaway-driven, or collab-tagged?”

Public signals onlyHuman final decision
What feeds the packet

AffilSentry groups public profile evidence into four families before writing observations and recommended next steps.

01

Audience response

Visible follower count beside recent public engagement.

02

Comment quality

Repeated praise, conversational replies, and comment texture.

03

Engagement timing

When comments arrive and whether activity keeps a natural tail.

04

Profile & activity

Bio context, niche fit, contact path, and recent posting rhythm.

Where it fits

Between application intake and issuing access.

Keep your existing affiliate platform. AffilSentry adds the review step before a creator receives a code, tracking link, gift, or commission access.

01 / IntakeApplicant DM, form, or platform applicationwhere the public Instagram handle first reaches your team
→
02 / AffilSentryPre-approval public-evidence reviewreview packet, source-backed observations, recommended next step
→
03 / ReviewerApprove, ask, or holdyour team keeps the final decision and applicant conversation
→
04 / PlatformCode, link, gift, or commission accessShopify Collabs, UpPromote, Refersion, agency workflow
No platform migrationNo payout or attribution changeOnly before access is issued
Public-data boundary

Public evidence in. Reviewer decision out. No verdict engine.

Uses

  • Public Instagram profile, posts, comments, and timestamps
  • Source-backed observations for approval review
  • Recommended next step for a human reviewer

Does not touch

  • Auto-approval, auto-rejection, or hidden total score
  • Private DMs, passwords, or account-login data
  • Click attribution, payout, coupon, or commission tracking